Evidence map›Paper›PMID 34921467›Full record

ArticleHuman brain mapping2022

Patients with chronic pain exhibit individually unique cortical signatures of pain encoding.

Astrid Mayr, Pauline Jahn, Anne Stankewitz, Bettina Deak, Anderson Winkler, Viktor Witkovsky, Ozan Eren, Andreas Straube, Enrico Schulz

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 4 countries.

Astrid MayrDepartment of Radiology, University Hospital LMU, Ludwig-Maximilians-Universität München, Munich, Germany.
Pauline JahnDepartment of Neurology, University Hospital LMU, Ludwig-Maximilians-Universität München, Munich, Germany.
Anne StankewitzDepartment of Neurology, University Hospital LMU, Ludwig-Maximilians-Universität München, Munich, Germany.
Bettina DeakDepartment of Neurology, University Hospital LMU, Ludwig-Maximilians-Universität München, Munich, Germany.
Anderson WinklerEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Viktor WitkovskyDepartment of Theoretical Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovak Republic.
Ozan ErenDepartment of Neurology, University Hospital LMU, Ludwig-Maximilians-Universität München, Munich, Germany.
Andreas StraubeDepartment of Neurology, University Hospital LMU, Ludwig-Maximilians-Universität München, Munich, Germany.
Enrico SchulzDepartment of Neurology, University Hospital LMU, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0001-8188-380X
Ludwig-Maximilians-Universität München · DENational Institutes of Health · USSlovak Academy of Sciences · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic pain is characterised by an ongoing and fluctuating intensity over time. Here, we investigated how the trajectory of the patients' endogenous pain is encoded in the brain. In repeated functional MRI (fMRI) sessions, 20 patients with chronic back pain and 20 patients with chronic migraine were asked to continuously rate the intensity of their endogenous pain. Linear mixed effects models were used to disentangle cortical processes related to pain intensity and to pain intensity changes. At group level, we found that the intensity of pain in patients with chronic back pain is encoded in the anterior insular cortex, the frontal operculum, and the pons; the change of pain in chronic back pain and chronic migraine patients is mainly encoded in the anterior insular cortex. At the individual level, we identified a more complex picture where each patient exhibited their own signature of endogenous pain encoding. The diversity of the individual cortical signatures of chronic pain encoding results bridge between clinical observations and neuroimaging; they add to the understanding of chronic pain as a complex and multifaceted disease.

Indexed as

Chronic PainMigraine DisordersBrain MappingHumansMagnetic Resonance ImagingPain MeasurementBOLDchronic painendogenous painfMRIinsular cortex

Identifiers

PMID34921467
PMCPMC8886665
OpenAlexW4200014908

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.